kubevirt/kubevirt - Open Source PR Review Scorecard

Kubernetes Virtualization API and runtime in order to define and manage virtual machines.

C-Rank Grade: A (Welcoming) - 59/100

External PR Merge Rate: 54%

Response Time: 22h

First Timer Success: 45%

Frequently Asked Questions

Is kubevirt/kubevirt welcoming to first-time open-source contributors?

kubevirt/kubevirt has a recorded first-timer success rate of 45.2%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in kubevirt/kubevirt respond to incoming external pull requests in approximately 22.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 59.5 C-Rank™ score (A Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 59.5 places kubevirt/kubevirt in the A tier.

What is the external contributor pull request merge rate for kubevirt/kubevirt?

The external contributor pull request merge rate for kubevirt/kubevirt is 54.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in kubevirt/kubevirt?

kubevirt/kubevirt currently has 5 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Kubernetes Virtualization API and runtime in order to define and manage virtual machines.

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AI Maintainer Review Guidelines

Review Persona

Strict Quality Architect

Warmth Score
6.8/10
Patience Score
7.3/10
Nitpick Rate
41%

Rigorous architecture standards (62% critical review signals). Ensure PRs strictly follow guidelines before requesting review in kubevirt/kubevirt.

Top PR Submission Do's

  • Add unit tests with >80% coverage for modified code paths
  • Use conventional commit messages and clean branch names
  • Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • Do not submit unlinked PRs without referencing an existing issue
  • Do not mix refactoring and feature logic into a single commit
  • Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
22 hours
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
54.4%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
45.2%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
86 core
Highly collaborative maintainer core
Diagnostic Health HUD
54.4%
Merge Gauge
45.2%
1st-Timer
Community Vibe49/100

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Active Good First Issues (5)

View on GitHub

What happened: With the RerunOnFailure RunStrategy , if the associated PVC is deleted and recreated after vm stopped, the status will become WaitingForVolumeBinding. What you expected to happen: I executed the virtctl stop xxx command, and it should remain stopped even though the PVC has been modified. How to reproduce it (as minimally and precisely as possible): 1.vm configure spec: runStrategy: RerunOnFailure 2.Stopped the vm 3.Delete the existing PVC and create a new one.And the vm will be WaitingForVolumeBinding. Additional context: Environment: KubeVirt version (use virtctl version): N/A Kubernetes version (use kubectl version): N/A VM or VMI specifications: N/A Cloud provider or hardware configuration: N/A OS (e.g. from /etc/os-release): N/A Kernel (e.g. uname -a): N/A Install tools: N/A Others: N/A

📅 Opened Jul 10, 2026💬 11 comments
Quality: 40/100Contribute

Is your feature request related to a problem? Please describe: KubeVirt's core gRPC services use a legacy pattern of embedding errors in proto response messages via success bool and message string fields[1][2], bypassing gRPC's standard error model[3] entirely. Server methods return (response, nil) in the majority of cases, forcing clients to check both the gRPC error and Response.Success to determine if a client call failed. This means gRPC interceptors cannot observe application errors, error handling is incosistent across services (newer ones like plugin hooks for example already user proper status codes while older services don't). [1] kubevirt/pkg/handler-launcher-com/cmd/v1/cmd.proto Lines 150 to 153 in 7f6aafd message Response { bool success = 1; string message = 2;

📅 Opened Jun 30, 2026💬 12 comments
Quality: 40/100Contribute

Is your feature request related to a problem? Please describe: KubeVirt currently uses https://github.com/go-kit/log as the backend for its custom logging wrapper in staging/src/kubevirt.io/client-go/log. go-kit/log has not had a release since May 2022 and shows minimal maintenance activity. The broader go-kit ecosystem is effectively in maintenance mode with little maintainer engagement. Moreover, the adoption of go-kit and the creation of client-go/log was done at a time where structured logging for k8s controllers was not yet standardized, https://github.com/go-logr/logr which has since become the ecosystem-wide interface used by controller-runtime and client-go did not exist yet. Such transition would also open the path to a potential gradual migration to controller-runtime in KubeVirt. Describe the solution you'd like: Replace go-kit/log as the logging backend inside client-go/log/log.go with logr paired with a well-maintained backend such as https://github.com/kubernetes/klog or

📅 Opened Jun 28, 2026💬 5 comments
Quality: 40/100Contribute

Is your feature request related to a problem? Please describe: The KubeVirt CR has two independent imagePullPolicy fields: spec.imagePullPolicy — used by virt-operator for infrastructure deployments (virt-api, virt-controller, virt-handler, etc.) spec.configuration.imagePullPolicy — used for KubeVirt-owned containers in user workload pods (compute, guest-console-log, network binding sidecars, etc.) Note: user-supplied images (container disks, kernel boot) have their own per-volume imagePullPolicy inline in the volume spec, which is reasonable since the user controls those images. This is confusing for users because: Neither field was documented to explain what it controls or how it differs from the other They default independently (both to IfNotPresent) with no fallback between them A user setting spec.imagePullPolicy would reasonably expect it to apply everywhere, not just to infrastructure Historically, spec.imagePullPolicy was introduced with the operator (2018), and spec.co

📅 Opened Jun 25, 2026💬 5 comments
Quality: 30/100Contribute

Is your feature request related to a problem? Please describe: In many cases, one feature gate depends on another feature. So if you know that for example I want so-and-so feature enabled, it's not always obvious which feature gates you must also enable for the desired featuregate to fully be activated. Describe the solution you'd like: This issue proposes adding another field to the FeatureGate struct as defined in feature-gates.go to track the feature's dependant featuregates: type FeatureGate struct { Name string State State VmiSpecUsed func(spec *v1.VirtualMachineInstanceSpec) bool Message string } If a user enables a feature gate without enabling all dependencies, ideally I would like there to be a clear message in the logs about which feature gates the feature gate the user wants to enable depends on so that the user knows exactly which feature gates they must also enable. Side benefit is: not accidentally GAing a feature gate that still has Beta/

📅 Opened Mar 3, 2026💬 11 comments
Quality: 60/100Contribute
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Contributor Compatibility & Review Speed Analysis for kubevirt/kubevirt

When evaluating whether to contribute to kubevirt/kubevirt, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of kubevirt/kubevirt acknowledge new external contributions in approximately 22 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 54.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to kubevirt/kubevirt

01

Is kubevirt/kubevirt welcoming to first-time open-source contributors?

kubevirt/kubevirt has a recorded first-timer success rate of 45.2%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~22 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 59.5 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 59.5 places kubevirt/kubevirt in the Welcoming tier.

04

What is the external contributor pull request merge rate for kubevirt/kubevirt?

The external pull request merge rate is 54.4%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in kubevirt/kubevirt?

Yes, kubevirt/kubevirt currently has 5 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for kubevirt/kubevirt are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.